This course will be taught in a hybrid of online and face-to-face classroom formats; students will be informed who can attend the class on campus or should join the live streaming class.
This course will include a revision of chemical engineering fundamentals and the basics of processes modelling for fuel synthesis technologies. Using this as a background we will then study a range of fuel production technologies, including established fossil fuel processing and emerging renewable fuel production processes.
Objective
1) Develop an understanding of the fundamentals of chemical process engineering, including chemical thermodynamics, molecular theory and kinetics. 2) Learn to perform basic process modelling using some computational methods in order to analyse fuel production processes. 3) Using the fundamentals as a background, we will study a number of different fuel production processes, both conventional and emerging technologies.
Content
Theory: Chemical equilibrium thermodynamics, reaction kinetics, and chemical reaction engineering.
Processes modelling: An introduction to using cantera to model chemical processes. This part of the course includes an optional project, where the student will perform a basic analysis of a natural gas to methanol conversion process.
Fuel synthesis topics: Conventional fuel production including oil refinery, upgrading of coal and natural gas, and biofuel. Emerging renewable fuel technologies including the conversion of renewable electricity to fuels via electrolysis, the conversion of heat to fuels via thermochemical cycles, and some other speculative fuel production processes.
Lecture notes
Will be available electronically.
Literature
A) Physical Chemistry, 3rd edition, A. Alberty and J. Silbey, 2001 B) Chemical Reaction Engineering, 3rd Edition, Octave Levenspiel, 1999 C) Fundamentals of industrial catalytic processes, C. H. Bartholomew, R. J. Farrauto, 2011;
Prerequisites / Notice
Some previous studies in chemistry and chemical engineering are recommended, but not absolutely necessary. Experience with either Python or Matlab is also recommended.
Performance assessment
Performance assessment information (valid until the course unit is held again)
The performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examination
written 120 minutes
Additional information on mode of examination
The course incorporates an optional “Learning task” (Lernelement) which can improve the total course unit grade by up to 0.25 grade points. This learning task will involve modelling of chemical processes using the open source software Cantera.
Written aids
Two A4 sheets of paper with handwritten notes can be brought to the exam.
This information can be updated until the beginning of the semester; information on the examination timetable is binding.
Learning materials
No public learning materials available.
Only public learning materials are listed.
Groups
No information on groups available.
Restrictions
There are no additional restrictions for the registration.